Small blood vessels may be difficult to detect in magnetic resonance angiography due to the lack of blood
flow caused by disease or injury. Our method, which uses a block-matching denoising approach to segment blood
vessels, works well in the presence of noise. We examined extended regions of an image to determine whether they
contained blood vessels by fitting a Gaussian mixture model to a region's histogram. Then, dissimilar regions were
denoised separately. This approach was beneficial in low-contrast settings. It can be used to detect higher-order
blood vessels that may be difficult to detect under normal conditions.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.